We build what we know — and ship it into customer environments.
Custom security engineering: hardware labs, runtime instrumentation, DevSecOps automation, assessment tooling, threat-model-driven architecture. Where existing tools do not scale or do not exist, we engineer the system the customer needs. Several of those builds graduated into the YinkoShield product line.
Five engineering disciplines.
Each discipline is a body of work that has shipped into a tier-1 customer environment and stayed there.
Hardware lab
Device, terminal, and embedded-system security work — board-level analysis, firmware extraction, fault injection, side-channel work. The depth most consultancies do not maintain in-house.
- — Firmware extraction and analysis (UART, JTAG, SPI, eMMC)
- — Hardware fault injection and side-channel analysis
- — Secure-element and HSM evaluation
- — Payment terminal and IoT device security
Runtime instrumentation
Custom instrumentation that ships into production environments. Where commercial APM and EDR tools do not have the resolution to see what an operator needs to see, we build the layer that does.
- — Application-runtime instrumentation
- — Mobile and embedded telemetry SDKs
- — Custom signing and attestation systems
- — Threat-event taxonomies aligned to operator response
DevSecOps automation
Engineered security toolchains for organisations whose surface is too large or too sovereign for commercial SaaS. Pipelines, scanning orchestration, threat-model integration, reporting — all built to the customer's contract and residency requirements.
- — CI/CD security policy and gate engineering
- — SAST/DAST/SCA orchestration with custom analyzers
- — Threat-model-as-code integration
- — Sovereign deployment — no third-party SaaS in the data path
Custom assessment tooling
Where commercial scanners and pentest tools do not scale to the customer's footprint, we build the tooling for the engagement. The tooling becomes part of what the customer keeps.
- — Portfolio-scale assessment automation
- — Custom static analysis for the customer's languages and frameworks
- — Threat-library and detection-rule engineering
- — Internal red-team simulation infrastructure
Threat-model-driven architecture
Architecture review and engineering where the threat model is the design input, not an afterthought. Pre-build review for new systems; refactor advisory for systems already in flight.
- — Pre-build architecture review for new systems
- — Cryptography protocol and primitive selection
- — Identity, authentication, and authorisation architecture
- — Sovereign and air-gap deployment patterns
The kind of build that does not exist as a commercial product.
National-scale DevSecOps orchestrator with thirty-two custom scanners.
A government entity operating at national scale required a DevSecOps orchestration layer spanning their entire software-development surface. Commercial SaaS could not fit: data could not leave the customer's sovereign boundary, and the customer's threat profile required scanner coverage no commercial vendor offered.
We engineered the orchestration layer end-to-end, alongside thirty-two custom static, dynamic, and configuration analyzers — built specifically for the customer's languages, frameworks, deployment topology, and adversary model. Everything runs inside the customer's environment. Findings flow into their existing security-operations rhythm.
The threat profile is modelled at the high end of the adversary spectrum — state-actor capability, persistent presence, supply-chain compromise. The scanners and the orchestration layer were designed against that level of pressure.
The product line came out of the engineering practice.
For most of the last decade, the engineering work in this practice was deeply customer-specific — we built systems each customer kept and operated themselves.
Around 2019, the same patterns kept reappearing across multiple tier-1 customers: device-bound evidence, runtime coherence, sovereign verification. Rather than rebuild the same primitives for the next customer, we extracted them into a product.
That product is YinkoShield — the device-bound execution-evidence layer for digital payments. It runs in production today across 30M+ endpoints. The engineering practice continues alongside it.
Engineering work is scoped, not catalogued.
Most engineering builds start with an architecture conversation, not an RFP. If you have a system that needs work commercial tools cannot reach, tell us about it.
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